iPad16,3
Geekbench AI Score
4688
Single Precision Score
7823
Half Precision Score
6298
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2008
373.4 IPS |
|
|
Image Classification (HP)
|
100% |
3328
619.0 IPS |
|
|
Image Classification (Q)
|
96% |
2330
435.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3210
52.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3607
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10036
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19065
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16441
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2217
175.8 IPS |
|
|
Object Detection (HP)
|
97% |
3822
304.3 IPS |
|
|
Object Detection (Q)
|
94% |
2698
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
3949
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
7654
90.9 IPS |
|
|
Face Detection (Q)
|
100% |
4445
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8278
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14618
113.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10186
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25040
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38138
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31369
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5856
216.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6853
253.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4846
178.9 IPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5418
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5535
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3885
66.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6965
120.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6922
119.6 IPS |
